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Frame Detection over the Semantic Web

  • Bonaventura Coppola
  • Aldo Gangemi
  • Alfio Gliozzo
  • Davide Picca
  • Valentina Presutti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5554)

Abstract

In the past, research in ontology learning from text has mainly focused on entity recognition, taxonomy induction and relation extraction. In this work we approach a challenging research issue: detecting semantic frames from texts and using them to encode web ontologies. We exploit a new generation Natural Language Processing technology for frame detection, and we enrich the frames acquired so far with argument restrictions provided by a super-sense tagger and domain specializations. The results are encoded according to a Linguistic MetaModel, which allows a complete translation of lexical resources and data acquired from text, enabling custom transformations of the enriched frames into modular ontology components.

Keywords

Description Logic Semantic Role Text Corpus Frame Element Lexical Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bonaventura Coppola
    • 2
  • Aldo Gangemi
    • 1
  • Alfio Gliozzo
    • 1
  • Davide Picca
    • 3
  • Valentina Presutti
    • 1
  1. 1.STLabISTC-CNRRomaItaly
  2. 2.Department of Computer Science and EngineeringUniversity of TrentoItaly
  3. 3.Université de LausanneSwitzerland

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